Synthetic Control Chart Time Series
Donated on 6/7/1999
This data consists of synthetically generated control charts.
Dataset Characteristics
Time-Series
Subject Area
Other
Associated Tasks
Classification, Clustering
Feature Type
Real
# Instances
600
# Features
-
Dataset Information
Additional Information
This dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different classes of control charts: 1. Normal 2. Cyclic 3. Increasing trend 4. Decreasing trend 5. Upward shift 6. Downward shift The following image shows ten examples from each class: data.jpeg, where (A) Downward Trend. (B) Cyclic. (C) Normal. (D) Upward Shift. (E) Upward Trend. (F) Downward Shift.
Has Missing Values?
No
Variable Information
The data is stored in an ASCII file, 600 rows, 60 columns, with a single chart per line. The classes are organized as follows: 1-100 Normal 101-200 Cyclic 201-300 Increasing trend 301-400 Decreasing trend 401-500 Upward shift 501-600 Downward shift
Dataset Files
File | Size |
---|---|
synthetic_control.data | 281.6 KB |
cluster.jpeg | 135.9 KB |
data.jpeg | 114.1 KB |
synthetic_control.data.html | 4 KB |
synthetic_control.clustering.html | 3.4 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset synthetic_control_chart_time_series = fetch_ucirepo(id=139) # data (as pandas dataframes) X = synthetic_control_chart_time_series.data.features y = synthetic_control_chart_time_series.data.targets # metadata print(synthetic_control_chart_time_series.metadata) # variable information print(synthetic_control_chart_time_series.variables)
Alcock, R. (1999). Synthetic Control Chart Time Series [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C59G75.
Creators
Robert Alcock
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.